2024 AIGC Industry Chain and Development Opportunities
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Domestic favorable policies have been introduced successively. On February 19, the State-owned Assets Supervision and Administration Commission of the State Council held a special promotion meeting on artificial intelligence for central enterprises titled 'AI Empowers Industrial Renewal', emphasizing that central enterprises should actively embrace the profound changes brought by AI and prioritize the accelerated development of next-generation AI. Ten central enterprises signed an initiative, pledging to proactively open AI application scenarios to society.
According to Qichacha data, there are currently 1.6087 million AI-related enterprises in China. Regionally, Guangdong leads in the number of AI-related enterprises, followed by Shandong and Jiangsu. At the city level, first-tier cities like Beijing, Shanghai, Guangzhou, and Shenzhen rank among the top in terms of AI-related enterprises nationwide.
Investment in the Development of AI-Generated Content (AIGC) Industry
The development prospects of the AI-Generated Content (AIGC) industry are very broad, as it is considered a new form of content creation following Professional Generated Content (PGC) and User Generated Content (UGC).
The development of the AIGC industry relies on the support of AI technologies. In the future, with continuous innovation and breakthroughs in technologies such as deep learning, natural language processing, and computer vision, the AIGC industry is expected to introduce more intelligent, efficient, and personalized content generation methods. This will significantly improve the efficiency and quality of content production, bringing more innovation and convenience to various industries.
Currently, AIGC has been applied in multiple fields, including content creation, video and audio production, game development, media reporting, and voice assistants. In the future, with continuous technological innovation and the expansion of application areas, AIGC is expected to be applied in more fields. For example, in the education sector, AIGC can be used for personalized learning assistants and virtual tutors; in the medical field, it can generate medical reports and assist in diagnosis.
The development prospects of the AI-generated content (AIGC) industry are very broad and will be influenced by factors such as technological innovation, expansion of application areas, personalized and customized services, and the improvement and maturity of the industry chain. At the same time, it is also necessary to pay attention to and address the challenges and risks faced to promote the healthy and sustainable development of the AIGC industry.
AIGC Industry Chain
The AIGC industry chain mainly includes the upstream computing hardware layer, the midstream data/algorithm software layer, and the downstream industry application layer.
The upstream computing hardware layer is the foundation of the AIGC industry, primarily providing high-performance AI chips, servers, and data centers for computing support. The development of this layer is crucial for the training and application of AIGC models and serves as the infrastructure supporting the industry's growth.
The midstream data/algorithm software layer is the core of the AIGC industry, mainly responsible for the collection, cleaning, and labeling of AI data, as well as the development and training of models. This layer involves cooperation and competition among multiple vendors, including those in natural language processing, computer vision, and multimodal models. With continuous technological innovation and the expansion of application areas, midstream vendors need to continuously improve their technical levels and innovation capabilities to meet market demands. The downstream application layer of the AIGC industry is the ultimate destination, primarily involving applications in scenarios such as search, dialogue, and recommendation. In the future, as AIGC technology continues to mature and application fields expand, the downstream industry application layer will experience explosive growth. Various innovative application scenarios will emerge, offering users richer and more convenient intelligent services.
Overall, the AIGC industry chain is a complex yet complete ecosystem that requires close collaboration and synergistic innovation among upstream and downstream enterprises. With continuous technological advancements and the expansion of application fields, the AIGC industry chain will become increasingly refined and mature, bringing more innovation and convenience to various sectors.
Artificial Intelligence-Generated Content (AIGC) Development Opportunities
The rise of generative AI, particularly the application of large language models, is fundamentally transforming the way the technology industry operates. Industrial technology is entering a new era driven by AI, which will integrate generative AI with industrial-scale model technologies, transcending traditional industry boundaries and becoming the strategic direction for future AI enterprises.
Industry experts point out that AI is one of the most dynamic fields in digital technology innovation. New technologies, such as generative AI, large-scale pre-trained models, and knowledge-driven AI, are unlocking new opportunities for the industry. The development of AIGC presents both opportunities and challenges. On one hand, it drives job upgrades and creates more employment opportunities. On the other hand, AIGC also imposes new requirements on professionals, with many job postings now requiring candidates to possess AIGC skills. Against this backdrop, the Fengbian AI Growth Program was launched, leveraging its advanced automated teaching capabilities to help users evolve from complete beginners into AI application experts, mastering the ability to generate original and engaging content.